Serverless seismic imaging in the cloud. - Philipp A. Witte; Mathias Louboutin; Charles Jones; Felix J. Herrmann (CoRR, 2019)

An Event-Driven Approach to Serverless Seismic Imaging in the Cloud. - Philipp A. Witte; Mathias Louboutin; Henryk Modzelewski; Charles Jones; James Selvage; Felix J. Herrmann (IEEE Trans. Parallel Distributed Syst., 2020)

Investigating underdiagnosis of AI algorithms in the presence of multiple sources of dataset bias. - Melanie Bernhardt; Charles Jones; Ben Glocker (CoRR, 2022)

Risk of Bias in Chest X-ray Foundation Models. - Ben Glocker; Charles Jones; Melanie Bernhardt; Stefan Winzeck (CoRR, 2022)

Structured Uncertainty in the Observation Space of Variational Autoencoders. - James Langley; Miguel Monteiro; Charles Jones; Nick Pawlowski; Ben Glocker (Trans. Mach. Learn. Res., 2022)

The Role of Subgroup Separability in Group-Fair Medical Image Classification. - Charles Jones; Mélanie Roschewitz; Ben Glocker (MICCAI (3), 2023)

No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging. - Charles Jones; Daniel C. Castro; Fabio De Sousa Ribeiro; Ozan Oktay; Melissa D. McCradden; Ben Glocker (CoRR, 2023)

Synthia's Melody: A Benchmark Framework for Unsupervised Domain Adaptation in Audio. - Chia-Hsin Lin; Charles Jones; Björn W. Schuller; Harry Coppock (CoRR, 2023)

Developing effective wildfire risk mitigation plans for the wildland urban interface. - Alan T. Murray; Jiwon Baik; Vanessa Echeverri Figueroa; Darlene Rini; Max A. Moritz; Dar A. Roberts; Stuart H. Sweeney; Leila M. V. Carvalho; Charles Jones (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Synthia's Melody: A Benchmark Framework for Unsupervised Domain Adaptation in Audio. - Chia-Hsin Lin; Charles Jones; Björn W. Schuller; Harry Coppock; Alican Akman (ICASSP, 2024)

Mitigating Attribute Amplification in Counterfactual Image Generation. - Tian Xia; Mélanie Roschewitz; Fabio De Sousa Ribeiro; Charles Jones; Ben Glocker (MICCAI (10), 2024)

Automatic dataset shift identification to support root cause analysis of AI performance drift. - Mélanie Roschewitz; Raghav Mehta; Charles Jones; Ben Glocker (CoRR, 2024)

Rethinking Fair Representation Learning for Performance-Sensitive Tasks. - Charles Jones; Fabio De Sousa Ribeiro; Mélanie Roschewitz; Daniel C. Castro; Ben Glocker (ICLR, 2025)

Subgroups Matter for Robust Bias Mitigation. - Anissa Alloula; Charles Jones; Ben Glocker; Bartlomiej W. Papiez (CoRR, 2025)

Flow Stochastic Segmentation Networks. - Fabio De Sousa Ribeiro; Omar Todd; Charles Jones; Avinash Kori; Raghav Mehta; Ben Glocker (CoRR, 2025)